Key Signals

• OpenAI reveals the inner workings of its Codex agent architecture. OpenAI published a technical deep dive explaining how Codex CLI orchestrates models, tools, prompts, and performance using the Responses API. This transparency into agentic coding workflows provides developers with valuable insights into how modern AI coding agents coordinate complex multi-step tasks. The article signals OpenAI's continued investment in making Codex a production-grade agentic development tool. [1]

Feature Update

• OpenAI publishes technical deep dive unrolling the Codex CLI agent loop architecture. The article explains how Codex orchestrates the interplay between language models, developer tools, prompt engineering, and performance optimization through the Responses API. This documentation gives developers a clearer understanding of how Codex manages context, coordinates tool calls, and maintains state across multi-turn agentic workflows. For teams building on or integrating with Codex, this transparency into the agent loop mechanics is essential for understanding the system's capabilities and limitations. [1]